• No results found

APPENDIX H: FALL 2008 AND FALL 2009 COMBINED REGRESSION ANALYSIS – MALES (SAS OUTPUT)

5/3/15 11:46 AM SAS Output

Page 1 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm

Fall 2008 and Fall 2009 Combined Regression Analysis MALES The REG Procedure

Model: MODEL1

Dependent Variable: CHEMDEG CHEMDEG

Number of Observations Read 225

Number of Observations Used 167

Number of Observations with Missing Values 58

Maximum R-Square Improvement: Step 1

Variable ONEMATH Entered: R-Square = 0.3373 and C(p) = 20.0940

Analysis of Variance

Source DF SquaresSum of SquareMean F Value Pr > F Model 1 11.53693 11.53693 83.98 <.0001

Error 165 22.66667 0.13737

Corrected Total 166 34.20359

Variable ParameterEstimate StandardError Type II SS F Value Pr > F Intercept 4.44089E-16 0.08288 3.9443E-30 0.00 1.0000

ONEMATH 0.80952 0.08834 11.53693 83.98 <.0001

Bounds on condition number: 1, 1

The above model is the best 1-variable model found.

Maximum R-Square Improvement: Step 2

Variable RESEARCH Entered: R-Square = 0.3795 and C(p) = 10.4435

Analysis of Variance

SAS Output (cont.) 5/3/15 11:46 AM SAS Output Page 2 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm Model 2 12.97923 6.48962 50.15 <.0001 Error 164 21.22436 0.12942 Corrected Total 166 34.20359

Variable ParameterEstimate StandardError Type II SS F Value Pr > F Intercept 4.62771E-16 0.08044 4.28314E-30 0.00 1.0000

RESEARCH 0.22436 0.06721 1.44231 11.14 0.0010

ONEMATH 0.75000 0.08757 9.49219 73.35 <.0001

Bounds on condition number: 1.0432, 4.173

The above model is the best 2-variable model found.

Maximum R-Square Improvement: Step 3

Variable FIRSTGPA Entered: R-Square = 0.4045 and C(p) = 5.5344

Analysis of Variance

Source DF SquaresSum of SquareMean F Value Pr > F Model 3 13.83457 4.61152 36.90 <.0001

Error 163 20.36902 0.12496

Corrected Total 166 34.20359

Variable ParameterEstimate StandardError Type II SS F Value Pr > F Intercept -0.37839 0.16482 0.65862 5.27 0.0230

FIRSTGPA 0.13207 0.05048 0.85534 6.84 0.0097

RESEARCH 0.19800 0.06680 1.09781 8.79 0.0035

ONEMATH 0.71379 0.08716 8.38094 67.07 <.0001

Bounds on condition number: 1.0702, 9.5983

SAS Output (cont.)

5/3/15 11:46 AM SAS Output

Page 3 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm

Maximum R-Square Improvement: Step 4

Variable SUBURB Entered: R-Square = 0.4220 and C(p) = 2.6967

Analysis of Variance

Source DF SquaresSum of SquareMean F Value Pr > F Model 4 14.43347 3.60837 29.57 <.0001 Error 162 19.77012 0.12204 Corrected Total 166 34.20359 Variable Parameter Estimate Standard

Error Type II SS F Value Pr > F Intercept -0.49929 0.17178 1.03096 8.45 0.0042

FIRSTGPA 0.13312 0.04989 0.86893 7.12 0.0084

RESEARCH 0.19127 0.06609 1.02229 8.38 0.0043

SUBURB 0.13869 0.06261 0.59889 4.91 0.0281

ONEMATH 0.73122 0.08649 8.72251 71.47 <.0001

Bounds on condition number: 1.0792, 16.881

The above model is the best 4-variable model found.

Maximum R-Square Improvement: Step 5

Variable URM Entered: R-Square = 0.4253 and C(p) = 3.7743

Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model 5 14.54765 2.90953 23.83 <.0001 Error 161 19.65594 0.12209 Corrected Total 166 34.20359 Variable Parameter Estimate Standard

Error Type II SS F Value Pr > F Intercept -0.56690 0.18549 1.14029 9.34 0.0026

SAS Output (cont.) 5/3/15 11:46 AM SAS Output Page 4 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm RESEARCH 0.18857 0.06616 0.99177 8.12 0.0049 URM 0.08744 0.09041 0.11419 0.94 0.3349 SUBURB 0.13989 0.06263 0.60910 4.99 0.0269 ONEMATH 0.73911 0.08689 8.83317 72.35 <.0001

Bounds on condition number: 1.0887, 26.348

The above model is the best 5-variable model found.

Maximum R-Square Improvement: Step 6

Variable NUMBERAP Entered: R-Square = 0.4268 and C(p) = 5.3640

Analysis of Variance

Source DF SquaresSum of SquareMean F Value Pr > F Model 6 14.59845 2.43308 19.86 <.0001

Error 160 19.60514 0.12253

Corrected Total 166 34.20359

Variable ParameterEstimate StandardError Type II SS F Value Pr > F Intercept -0.54609 0.18862 1.02708 8.38 0.0043 FIRSTGPA 0.11923 0.05191 0.64649 5.28 0.0229 RESEARCH 0.17876 0.06801 0.84656 6.91 0.0094 URM 0.08378 0.09075 0.10443 0.85 0.3573 NUMBERAP 0.00815 0.01266 0.05080 0.41 0.5206 SUBURB 0.12057 0.06955 0.36820 3.00 0.0849 ONEMATH 0.73423 0.08738 8.65174 70.61 <.0001

Bounds on condition number: 1.4058, 42.26

The above model is the best 6-variable model found.

SAS Output (cont.)

5/3/15 11:46 AM SAS Output

Page 5 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm

Variable MATHCRSE Entered: R-Square = 0.4277 and C(p) = 7.1074

Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model 7 14.63022 2.09003 16.98 <.0001 Error 159 19.57337 0.12310 Corrected Total 166 34.20359 Variable Parameter Estimate Standard

Error Type II SS F Value Pr > F Intercept -0.53774 0.18977 0.98842 8.03 0.0052 FIRSTGPA 0.11954 0.05203 0.64975 5.28 0.0229 MATHCRSE -0.01459 0.02873 0.03177 0.26 0.6121 RESEARCH 0.18202 0.06847 0.87000 7.07 0.0087 URM 0.09341 0.09292 0.12442 1.01 0.3163 NUMBERAP 0.01097 0.01385 0.07724 0.63 0.4295 SUBURB 0.12931 0.07181 0.39920 3.24 0.0736 ONEMATH 0.74965 0.09269 8.05265 65.41 <.0001

Bounds on condition number: 1.7307, 65.133

The above model is the best 7-variable model found.

Maximum R-Square Improvement: Step 8

Variable CHEMCOMB Entered: R-Square = 0.4281 and C(p) = 9.0000

Analysis of Variance Source DF Sum of Squares Mean Square F Value Pr > F Model 8 14.64351 1.83044 14.79 <.0001 Error 158 19.56008 0.12380 Corrected Total 166 34.20359 Variable Parameter Estimate Standard

SAS Output (cont.) 5/3/15 11:46 AM SAS Output Page 6 of 7 file:///Users/gretchenadams/Library/Caches/TemporaryItems/Outlook%20Temp/Males%20V2%20SAS%20Results.htm Intercept -0.48931 0.24096 0.51048 4.12 0.0440 FIRSTGPA 0.11885 0.05222 0.64118 5.18 0.0242 MATHCRSE -0.01171 0.03012 0.01872 0.15 0.6979 RESEARCH 0.18175 0.06867 0.86734 7.01 0.0089 URM 0.09393 0.09319 0.12577 1.02 0.3150 NUMBERAP 0.01111 0.01390 0.07915 0.64 0.4251 SUBURB 0.12973 0.07202 0.40171 3.24 0.0736 ONEMATH 0.74981 0.09295 8.05594 65.07 <.0001 CHEMCOMB -0.03017 0.09208 0.01329 0.11 0.7436

Bounds on condition number: 1.8918, 85.225

The above model is the best 8-variable model found.

APPENDIX  I:  IRB  APPROVAL    

Office of the Vice Chancellor for Research

Office for the Protection of Research Subjects 528 East Green Street

Suite 203 Champaign, IL 61820

U of Illinois at Urbana-Champaign  •  IORG0000014  •  FWA  #00008584 May 14, 2015

Gretchen Adams Chemistry

3671 Noyes Lab, Box A-2 501 S. Mathews Urbana, IL 61801 M/C: 712

RE: Factors that Lead to Retention and Recruitment of Chemistry Majors at the University of Illinois at Urbana-Champaign

IRB Protocol Number: 15829

EXPIRATION DATE: 05/13/2018

Dear Dr. Adams:

Thank you for submitting the completed IRB application form for your project entitled Factors that Lead

to Retention and Recruitment of Chemistry Majors at the University of Illinois at Urbana-Champaign.

Your project was assigned Institutional Review Board (IRB) Protocol Number 15829 and reviewed. It has been determined that the research activities described in this application meet the criteria for exemption at 45CFR46.101(b)(1, 2, & 4).

This determination of exemption only applies to the research study as submitted. Please note that additional modifications to your project need to be submitted to the IRB for review and exemption determination or approval before the modifications are initiated.

We appreciate your conscientious adherence to the requirements of human subjects research. If you have any questions about the IRB process, or if you need assistance at any time, please feel free to contact me at the OPRS office, or visit our website at http://www.irb.illinois.edu.

Sincerely,

Rebecca Van Tine, MS

Human Subjects Research Specialist, Office for the Protection of Research Subjects c: Lizanne DeStefano